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Depending on how mpi4py handles multithreading, using more than one thread (even on a multicore CPU) could result in large amounts of thrashing, and potentially a decrease in overall speed. On local, someone should test-solve the same game with lots of different process counts to see if this is happening.
The text was updated successfully, but these errors were encountered:
Depending on how mpi4py handles multithreading, using more than one thread (even on a multicore CPU) could result in large amounts of thrashing, and potentially a decrease in overall speed. On local, someone should test-solve the same game with lots of different process counts to see if this is happening.
The text was updated successfully, but these errors were encountered: